Instructions to use claudios/plbart-python-en_XX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/plbart-python-en_XX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/plbart-python-en_XX")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/plbart-python-en_XX") model = AutoModel.from_pretrained("claudios/plbart-python-en_XX") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cf758863c5778cd76ccb3c1a52a8bc47628622ca1ab1779614ab5b154b2f70f
- Size of remote file:
- 557 MB
- SHA256:
- 4bd85cbb3090df861bf3826fec97d003b25a4f439a99048847b0e90dc93aa8d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.